AI-MDT: an automatic and intelligent multidisciplinary team consultations platform for lung cancer diagnosis
It offers clinicians tools to improve diagnostic quality and work efficiency, highlighting its significant clinical application value. These findings suggest that the proposed platform contributes to the emerging research on advances precision lung cancer management by integrating a continually updated evidence base and intelligent imaging methodologies, having potential implications for MDT processes across various medical specialties.
Authors
- Hongqian Wang (ORCID: https://orcid.org/0000-0002-1432-5012)
- Siwei Miao
- Fei Wang (ORCID: https://orcid.org/0000-0002-2513-502X)
- Haidong Wang (ORCID: https://orcid.org/0000-0003-4409-4339)
- Jingyao Li (ORCID: https://orcid.org/0000-0002-4559-1524)
- Zhen Zhou
- Yunyou Liu
- Peng Wang
- Yang Qiu
Institutions
- Army Medical University (CN)
- Southwest Hospital (CN)
- Center for High Pressure Science & Technology Advanced Research (CN)
Publication Details
- Journal
- Journal of Cancer Research and Clinical Oncology
- Published
- 2026-01-08
- DOI
- https://doi.org/10.1007/s00432-025-06413-5
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Centre Scientifique et Technique du Bâtiment
- National Key Research and Development Program of China